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An adaptive digital predistorter with iterative noise cancelation

机译:具有迭代噪声消除功能的自适应数字预失真器

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摘要

In this paper, we propose a linearization technique combined with an iterative noise cancelation. This method alleviate the effect of added noises which prevent a predistorter (PD) from estimating the exact characteristics of power amplifier (PA). To iteratively cancel the noise included in the feedback signal, the output signal of power amplifier without noise is reconstructed by applying the inverse characteristic of PD to the predistorted signals, then the noise can be revealed by subtracting the reconstructed signals from the feedback signals. Simulation results based on the mean-square error (MSE) and power spectral density (PSD) criteria to evaluate PD performance is presented. The results show that the iterative noise cancelation method significantly enhances the MSE performance, which leads to an improvement of the out-of-band power suppression.
机译:在本文中,我们提出了一种与迭代噪声消除相结合的线性化技术。这种方法减轻了增加的噪声的影响,这些噪声会阻止预失真器(PD)估计功率放大器(PA)的确切特性。为了迭代地消除反馈信号中包括的噪声,通过将PD的逆特性应用于预失真信号来重构无噪声的功率放大器的输出信号,然后可以通过从反馈信号中减去重构信号来揭示噪声。给出了基于均方误差(MSE)和功率谱密度(PSD)准则评估PD性能的仿真结果。结果表明,迭代噪声消除方法显着提高了MSE性能,从而改善了带外功率抑制。

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